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Science / Neural network / Neuron / Action potential / Biological neuron model / Logistic regression / Neural decoding / Neural coding / Computational neuroscience / Neuroscience / Biology


ARTICLE Communicated by Todd Coleman Encoding Through Patterns: Regression Tree–Based Neuronal Population Models
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Document Date: 2013-11-25 06:20:38

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File Size: 1,13 MB

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City

Cambridge / Boston / Charlestown / Frankfurt am Main / /

Company

Wilson / /

Country

Germany / /

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Facility

Frankfurt Institute / Massachusetts General Hospital / Goethe University / Ernst Strungman Institute / Massachusetts Institute of Technology / University of Osnabruck / Max Planck Institute / /

IndustryTerm

maximization-type node-splitting algorithm / expectation-maximization-type algorithm / expectationmaximization algorithm / http /

Organization

Department of Brain and Cognitive Sciences / Department of Neurosurgery / Department of Neurophysiology / Max Planck Society / MIT / Department of Anesthesia and Critical Care / Center for Biomedical Imaging / University of Osnabruck / Frankfurt Institute for Advanced Studies / Massachusetts General Hospital / Massachusetts Institute of Technology / Department of Neuroinformatics / Ernst Strungman Institute for Neuroscience / Max Planck Institute for Brain Research / Goethe University / /

Person

Johann Wolfgang / Main / Laura D. Lewis / A. Gordon Pipa / Todd Coleman Encoding / /

Position

Prime Minister / probability model for each pattern / stimulus-dependent probability model for each leaf / model for each pattern / /

ProvinceOrState

Massachusetts / /

Technology

Neuroscience / 2013 Massachusetts Institute of Technology / maximization-type node-splitting algorithm / expectationmaximization algorithm / http / expectation-maximization-type algorithm / 2.1 Splitting Algorithm / /

URL

http /

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